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Finite-temperature properties of antiferroelectric perovskite \\( PbZrO_3\\) from deep learning interatomic potential
by
Ghosez, Philippe
, Xu, He
, Bastogne, Louis
, Hao-Cheng, Thong
, Gui, Churen
, Zhang, Huazhang
in
Antiferroelectricity
/ Deep learning
/ Density functional theory
/ Electric fields
/ First principles
/ Free energy
/ Hysteresis loops
/ Low temperature
/ Perovskites
/ Phase transitions
/ Phases
/ Temperature
2024
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Finite-temperature properties of antiferroelectric perovskite \\( PbZrO_3\\) from deep learning interatomic potential
by
Ghosez, Philippe
, Xu, He
, Bastogne, Louis
, Hao-Cheng, Thong
, Gui, Churen
, Zhang, Huazhang
in
Antiferroelectricity
/ Deep learning
/ Density functional theory
/ Electric fields
/ First principles
/ Free energy
/ Hysteresis loops
/ Low temperature
/ Perovskites
/ Phase transitions
/ Phases
/ Temperature
2024
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Do you wish to request the book?
Finite-temperature properties of antiferroelectric perovskite \\( PbZrO_3\\) from deep learning interatomic potential
by
Ghosez, Philippe
, Xu, He
, Bastogne, Louis
, Hao-Cheng, Thong
, Gui, Churen
, Zhang, Huazhang
in
Antiferroelectricity
/ Deep learning
/ Density functional theory
/ Electric fields
/ First principles
/ Free energy
/ Hysteresis loops
/ Low temperature
/ Perovskites
/ Phase transitions
/ Phases
/ Temperature
2024
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Finite-temperature properties of antiferroelectric perovskite \\( PbZrO_3\\) from deep learning interatomic potential
Paper
Finite-temperature properties of antiferroelectric perovskite \\( PbZrO_3\\) from deep learning interatomic potential
2024
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Overview
The prototypical antiferroelectric perovskite \\( PbZrO_3\\) (PZO) has garnered considerable attentions in recent years due to its significance in technological applications and fundamental research. Many unresolved issues in PZO are associated with large length- and time-scales, as well as finite temperatures, presenting significant challenges for first-principles density functional theory studies. Here, we introduce a deep learning interatomic potential of PZO, enabling investigation of finite-temperature properties through large-scale atomistic simulations. Trained using an elaborately designed dataset, the model successfully reproduces a large number of phases, in particular, the recently discovered 80-atom antiferroelectric \\(Pnam\\) phase and ferrielectric \\(Ima2\\) phase, providing precise predictions for their structural and dynamical properties. Using this model, we investigated phase transitions of multiple phases, including \\(Pbam\\)/\\(Pnam\\), \\(Ima2\\) and \\(R3c\\), which show high similarity to the experimental observation. Our simulation results also highlight the crucial role of free-energy in determining the low-temperature phase of PZO, reconciling the apparent contradiction: \\(Pbam\\) is the most commonly observed phase in experiments, while theoretical calculations predict other phases exhibiting even lower energy. Furthermore, in the temperature range where the \\(Pbam\\) phase is thermodynamically stable, typical double polarization hysteresis loops for antiferroelectrics were obtained, along with a detailed elucidation of the structural evolution during the electric-field induced transitions between the non-polar \\(Pbam\\) and polar \\(R3c\\) phases.
Publisher
Cornell University Library, arXiv.org
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